# Question: A psychologist studying perceived quality of life in a large

A psychologist studying perceived “quality of life” in a large number of cities (N 5 150) came up with the following equation using mean temperature (Temp), median income in $1,000 (Income), per capita expenditure on social services (SocSer), and population density (Popul) as predictors.

(a) Interpret the above regression equation in terms of the coefficients.

(b) Assume a city has a mean temperature of 55°, a median income of $12,000, spends $500 per capita on social services, and has a population density of 200 people per block. What is its predicted Quality of Life score?

(c) What would we predict in a different city that is identical in every way except that it spends $100 per capita on social services?

(a) Interpret the above regression equation in terms of the coefficients.

(b) Assume a city has a mean temperature of 55°, a median income of $12,000, spends $500 per capita on social services, and has a population density of 200 people per block. What is its predicted Quality of Life score?

(c) What would we predict in a different city that is identical in every way except that it spends $100 per capita on social services?

## Relevant Questions

Mireault (1990) studied students whose parent had died during their childhood, students who came from divorced families, and students who came from intact families. Among other things, she collected data on their current ...Use the table of random numbers (Table E.9 in the Appendix) to generate data for 10 cases on six variables, and label the first variable Y and the following variables X1, X2, X3, X4, and X5. Now use any regression program to ...Since you have the DASL data on brain size, note that it also includes the variables of height and weight. Predict weight from height and sex and compare with the answer for Exercise 11.17. Calculate the adjusted R2 for the 15 cases in Exercise 11.6. Twice in this chapter I said that we were going to ignore the adjusted R2, even though it is a perfectly legitimate statistic. Can you tell what it is ...In Exercise 12.14 you probably solved for t instead of z. Why was that necessary? In Exercise 12.14 For the IQ data on females in Appendix D (data set Add.dat on the website), test the null hypothesis that µ female = 100.Post your question